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Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods

This M.Tech Electrical Engineering topic focuses on Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods. It belongs to the Induction Motor Control area within Electrical Machines & Drives. The work…

Induction Motor Control
Abstract This M.Tech Electrical Engineering topic focuses on Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods. It belongs to the Induction Motor Control area within Electrical Machines & Drives. The work is suitable for research topic selection, synopsis preparation, literature review, machine-drive modelling, MATLAB/Simulink or Python-based analysis, controller design, fault-diagnosis experiments, sensorless estimation studies, result analysis, and dissertation documentation. Students can use this 2023-onward research reference as the base paper and then customize the implementation using suitable motor parameters, inverter model, control strategy, signal-processing method, machine-learning model, and performance metrics.
Reference Paper Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods
Year 2023
Domain Electrical Machines & Drives
Sub-Domain Induction Motor Control
PDF / Source Link Open Paper / PDF
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